diff --git a/sft_code.sh b/sft_code.sh
deleted file mode 100644
index a7c5e1f..0000000
--- a/sft_code.sh
+++ /dev/null
@@ -1,154 +0,0 @@
-#!/bin/bash
-
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset TACO \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir TACO \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048
-
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset Tested-143k-Python-Alpaca \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir Tested-143k-Python-Alpaca \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048
-    
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset UltraInteract_sft \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir UltraInteract_sft \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048
-    
-    
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset  code_instructions_120k_alpaca \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir code_instructions_120k_alpaca \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048
-    
-    
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset  CodeExercise-Python-27k \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir CodeExercise-Python-27k \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048
-    
-
-deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
-    --stage sft \
-    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
-    --do_train \
-    --dataset CodeNet4Repair \
-    --template jiuge \
-    --finetuning_type full \
-    --output_dir CodeNet4Repair \
-    --per_device_train_batch_size 14 \
-    --gradient_accumulation_steps 6 \
-    --lr_scheduler_type cosine \
-    --logging_step 1 \
-    --save_steps 300 \
-    --lr_scheduler_type cosine_with_restarts \
-    --warmup_ratio 0.001 \
-    --optim adamw_torch \
-    --learning_rate 2e-5 \
-    --num_train_epochs 2.0 \
-    --plot_loss \
-    --bf16 \
-    --gradient_checkpointing \
-    --report_to tensorboard \
-    --deepspeed deepspeed_configs/zero2.json \
-    --cutoff_len 2048